An adaptive threshold intensity range filter for removal of random value impulse noise in digital images. | [Journal of Theoretical and Applied Information Technology • 2014]

Author(s):

1. S. Saravanakumar: Department of ECE, Anna University Regional Centre, Coimbatore, India; Sri Ramakrishna Engineering College, Coimbatore, India

2. A. Ebenezer Jeyakumar: Sri Ramakrishna Engineering College, Coimbatore, India; Department Of Ece, Anna University Regional Centre, Coimbatore, India

3. K. N. Vijeyakumar: Department of ECE, Anna University Regional Centre, Coimbatore, India

4. Nelson Kingsley Joel: Department of ECE, Anna University Regional Centre, Coimbatore, India

Abstract:

A novel approach for denoising digital images corrupted by impulse noise is presented in this brief. The proposed approach uses an efficient technique to identify pixels corrupted by random noise. This is done by setting an intensity range for the center pixel of the selected window and checking whether the number of pixels which fall within this range is above or below a specified threshold. If the condition for an uncorrupted pixel fails in the selected window, the window size is increased and threshold is adaptively changed. Experimental evaluation using MATLAB revealed that the proposed approach demonstrates better Peak Signal to Noise Ratio (PSNR) improvement for higher noise densities when compared to the best of the approaches used for comparison. Visual interpretation of output images revealed that our approach preserved edges and fine details when compared to the existing algorithms.

Page(s): 103-112

DOI: DOI not available

Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 59, Issue: 1, Year: 2014

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